Senior/Staff Data Engineer
Confidential
Posted: January 30, 2026
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Quick Summary
We're a mission-driven team of builders, engineers, and operators focused on privacy, security, and user trust.
Required Skills
Job Description
Title: Senior/Staff Data Engineer
Location: Hybrid – Nashville, TN
Compensation: $180,000 – $210,000 base salary
Eligibility: U.S. residents only (due to privacy tech compliance requirements)
About 360 Privacy
360 Privacy protects high-level individuals’ PII data online, helping individuals and businesses regain control of their digital footprint. Our platform automates data removal, monitors exposure, and provides insight into where and how information is being shared.
We’re a mission-driven team of builders, engineers, and operators focused on privacy, security, and user trust.
About the Role
We’re looking for a Senior/Staff Data Engineer to build the foundation of our data ecosystem and enable data-driven decision making across the organization. This is a new, high-impact role responsible for designing the systems that turn raw data into clear, actionable insights. You’ll curate dashboards, build reliable data pipelines, and launch the first iteration of our centralized data warehouse, empowering teams across 360 Privacy with trusted data.
You’ll work closely with the Automations and Core Engineering teams, as well as internal data consumers, to ensure information flows seamlessly from collection to decision. Within your first 6–12 months, success means delivering an operational data warehouse, driving adoption of the dashboards and metrics you create, and transforming data into meaningful insights that inform strategy.
This role begins as an individual contributor but offers a clear path to leadership as the analytics function expands.
What You’ll Do
Design and implement scalable data models (Star Schema, Snowflake, Medallion, or Datavault).
Build and orchestrate ETL/ELT pipelines to move and transform data efficiently.
Ingest third party data sources into the data warehouse.
Establish deployment patterns and best practices for the data warehouse.
Define and maintain documentation, governance policies, and
data quality automations.
Ensure robust development processes that follow SDLC best practices.
Collaborate cross-functionally to define KPIs, dashboard design, and data access standards.
Basic Requirements
6+ years of experience in analytics engineering, data infrastructure, or related roles.
Strong ownership of data warehouse architecture and pipeline development.
Proficiency in SQL and Python.
Experience with datastores such as Postgres, S3, or Redshift.
Proficiency with at least one query engine (Athena, Trino/Presto, Spark, Snowflake, etc).
Hands-on experience with workflow orchestration (Prefect, Airflow, Step Functions, etc).
Understanding of software development lifecycles, version control, and CI/CD for data systems.
Nice to Have’s
General AWS
Experience with Kubernetes and containerized environments.
Knowledge of object store formats (Avro, Parquet, ORC) and open table formats (Iceberg, Delta, Hudi).
Familiarity with Change Data Capture (CDC) processes
Experience in privacy, security, or regulated industries (not required).
Soft Skills That Matter
Low ego and strong collaboration mindset.
Excellent communicator who values clarity over assumption.
Curious validator—tests ideas with business and domain partners before acting.
Self-starter who thrives in ambiguity and builds structure where none exists.
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